Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografische gegevens
Hoofdauteurs: Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Andere auteurs: Rhaman, Dr. Md. Khalilur
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2024
Onderwerpen:
Primary dataset
Data analysis
Computer vision
Object detection algorithm
Machine learning
YOLOv5.
Signal detection.
Online toegang:http://hdl.handle.net/10361/22061

Internet

http://hdl.handle.net/10361/22061

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